Loading...
BETA – We are refining the platform. Your feedback helps us improve. Share feedback
Loading...
Publish your own articles and insights on Citable ESG
Pro organisations publish unlimited content, strengthening their AI Citability Score and visibility to procurement teams, investors, clients, customers, partners, and followers.

An uncrewed solar and wind-powered vessel has begun a 22,000km circumnavigation of Antarctica to collect data on ocean carbon absorption for Australian climate researchers. The seven-metre autonomous craft will operate in extreme Southern Ocean conditions for months, gathering measurements that feed directly into understanding how oceans sequester atmospheric CO2 – a critical variable missing from most climate models and emissions projections.
The deployment matters because ocean carbon uptake remains poorly quantified at regional scales. Current estimates of how much carbon the Southern Ocean absorbs carry wide uncertainty bands; better data tightens those bands and improves the accuracy of national and global emissions accounting. This feeds into corporate Scope 3 calculations where companies claim ocean-based carbon removal or offset credits – claims that rest on shaky oceanographic foundations.
The vessel is powered entirely by renewables, which is tactically smart but strategically secondary. The real value is the baseline science: if we cannot measure what oceans actually do with carbon, we cannot verify whether blue carbon projects, marine protected areas, or conservation claims deliver real emissions reductions. For organisations making ocean-related climate commitments, this research exposes the gap between ambition and measurement capability.
The journey will take months in waters that have historically resisted sustained observation. Success depends on the craft's durability and the researchers' ability to retrieve and process data remotely. Failure would simply reinforce why this region remains one of Earth's least understood carbon sinks – and why so many climate pledges rest on incomplete information.